Josh

@peternoszek singapore is cooking 🧑‍🍳

SuperAI Day 1 – 10,000 people across 3 floors. In 2024 convincing people to fly to Singapore for a new AI conference took heavy lifting. 2 years later, the industry is coming in from SF, NY, Boston, Shanghai, Beijing, Shenzhen. Singapore is cooking.

@carlsoncheng_ down. lets run it 🔥

I will personally work for free as your EA for 2 weeks. I want to build the world's best EA service

GMI Agent Box x @morphic_io "So that's why we chose to move over to GMI Cloud because then we became a lot more intuitive. We have segregation, everything done all of the box. And our Cloud setup is almost 5 times cheaper than AWS" - Joshua, founder of morphic

@gmi_cloud AgentBox accelerated our roadmap by a couple weeks stop managing infra and ship what matters

Today, we are launching GMI Agent Box. A complete infrastructure stack for production-ready AI agents: native Docker, flexible deployment, 200+ models under one API key, dedicated compute across regions, and a marketplace for distribution. Available now.

@Rachelwolf00 @solayer_labs @Solayer_Pay thanks for having us on! was a pleasure 🫡

New on Deep Dive podcast🎙️
Rachel Wolfson sits down with Joshua Sum of @solayer_labs to discuss Solayer, @Solayer_Pay and the next wave of Web3 innovation — from infrastructure and speed to what better onchain experiences could unlock for users and builders. Watch the full interview with Joshua on Deep Dive Podcast, link in my bio!

@contextkingceo already powering also already in production teams are shipping with this superpower and more will start the move after tasting it (either by trying it directly or by interacting with products built on it)

@joshsum_ i care about "already powering." that's the proof. means a lot

Introducing HydraDB. The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do. We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now. @hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise. We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.

@13yearoldvc @ethereumfndn @fastxyz @eigencloud @RoamResearch @wehack247 congrats on the new journey!

Earlier this year I left @ethereumfndn and joined @fastxyz as a cofounder. The thread through everything I've worked on - @ethereumfndn, @eigencloud, @RoamResearch, @wehack247 - has been coordination systems: how distributed people share knowledge, make decisions, and generate positive economic value. We started Fast building settlement infrastructure for AI agents. Mapped the space. Honest finding: demand is still a while away. So we asked: where is AI-driven economic activity actually happening right now? Two questions driving everything from here: 1. The world's knowledge is massively under-digitized. The best expert's methodology lives in their head. None of it is written down, accessible to AI, or compensated as the asset it is. How do you capture it, structure it, and make it useful - for AI and for humans? 2. What does work look like when AI is here? When execution costs collapse toward zero, human value shifts to taste, judgment, cultural context, physical experience. Where do young people find opportunity? How does the rest of the world participate outside of two superpowers? Coordinating collective intelligence at scale. Biggest version of this problem I've encountered. Don't have clean answers yet, but the people working on these questions will build something that matters for the next decade. If you're thinking about any of this - human-AI collaboration, digitizing expertise, what world models need from humans, new forms of work AI creates - I want to talk to you. More writing soon. DMs open.

@hydra_db is our default context engine agents need a database designed for them > graph will be the way :: hydra.

@eidesis_ai congrats! bullish 👀

We are launching Eidesis: the conversion OS that turns any website into a self-improving revenue engine. Today, website optimization is still a manual loop: dashboards, guesses, variants, and weeks of A/B testing. Eidesis turns that into an agentic conversion loop. It learns from real visitor behavior, runs simulations with thousands of synthetic visitors, finds the website changes most likely to lift conversion, runs A/B tests, and auto rolls out the winning versions. A/B testing should be faster and less wasteful. Every website should be able to observe, simulate, test, learn, and continuously roll out higher-converting versions. Book a demo or join the waitlist now ↓

@larsencc 🫡

How many companies have some sort of control plane implemented for agents? Asking for a friend.

@Scobleizer @mission__ctrl tier 0

It's time for entrepeneurs to send in applications. The startup factories are busy with demo days of current batches, but this will never end. So I asked my AI to give me a list and rate them, after visiting most of these, I find its findings to be right on. So many choices for entrepreneurs who are staring companies. This written by my AI agent from Levangie Labs, run by @blevlabs, who just went through @theresidency: +++++++++++++++++ If you are starting companies here is your choices: The big thesis: San Francisco has moved from “accelerators” to “containers for intensity.” YC is still the canonical accelerator. But the new thing is the residency: founders living together, working together, compressing time, sharing networks, getting capital, and making the Bay Area feel like a giant operating system for company formation again. I’d group them like this: ━━━━━━━━━━━━━━━━━━ TIER 1: THE CORE SF RESIDENCY / INCUBATOR NODES ━━━━━━━━━━━━━━━━━━ 1. HF0 What it is: A hyper-selective live-in founder residency in San Francisco. Twelve weeks. About 10 teams per cohort. Up to $1M for 5% equity, per Questd’s residency database. It is explicitly optimized for repeat founders and high-performing builders. Why it matters: HF0 is the cleanest expression of the “remove everything except building” model. Housing, food, social pressure, founder density, and investor access are bundled into one environment. My take: HF0 is probably the strongest pure residency brand in SF right now. It feels like YC for people who already know they are dangerous, not for people still learning how startups work. The upside is intensity and caliber. The downside is that it is probably too intense and too selective for most first-time founders. Best for: Repeat founders, technical founders, people who thrive under peer pressure, founders who want total immersion. Not best for: First-time founders who need hand-holding, curriculum, or emotional stability. Sources: questd.ai/residencies/hf… sfstandard.com/2023/01/23/ins… everythingstartups.com/vc-funds/hf0-r… ━━━━━━━━━━━━━━━━━━ 2. Founders, Inc. What it is: A 42,000 square foot Fort Mason campus for ambitious builders. Part venture firm, part campus, part residency, part hacker cathedral. It backs founders in AI, AR/VR, B2B, hardware, content creation, robotics, dev tools, and related frontier domains. Why it matters: Founders Inc is the closest thing SF has to a “startup university without classes.” The campus has hardware labs, media resources, workspaces, events, and a culture of “just build.” My take: Founders Inc is one of the most important physical nodes in SF. If HF0 is the intense live-in residency, Founders Inc is the city-scale builder campus. It is especially strong for hardware, robotics, AI tools, creative tools, and weird frontier ideas that need space, gear, and people bumping into each other. Best for: Prolific builders, hardware founders, robotics founders, AI tools founders, creators who ship. Not best for: Founders who want a clean corporate accelerator experience. This is more garage, lab, campus, scene. Sources: f.inc grokipedia.com/page/FoundersI… lu.ma/raspi X signal: Founders Inc “120 teams launch in San Francisco under one roof” showed up in the X index. x.com/fdotinc/status… ━━━━━━━━━━━━━━━━━━ 3. The Residency What it is: A network of homes for ambitious inventors, builders, researchers, and creatives. It has multiple houses, including SF Parc, the Inventors Residency of San Francisco, SF2 hardware house, Odyssey, Biopunk, and others. The Residency is less like a single accelerator and more like a distributed network of “houses with a thesis.” Why it matters: It captures the softer, more cultural side of the SF builder movement. It is not only startups. It is creative technologists, hardware builders, BCI people, researchers, inventors, and ambitious young people looking for a place where intensity is normal. My take: The Residency is culturally important. It may be messier than HF0 or YC, but that is part of the point. It is where young builders go to become more serious by osmosis. It feels like the housing layer of Cerebral Valley. Best for: Young builders, creative technologists, hardware people, robotics people, people pre-company but high-agency. Not best for: Founders who already have a company and need structured capital, partner meetings, or enterprise intros. Sources: livetheresidency.com/residencies Nick Linck post on SF Parc: linkedin.com/posts/nick-lin… Medium field report: @jules.foa/one-day-at-the-residency-launching-a-startup-in-san-francisco-76f3e8977d80" target="_blank" rel="nofollow noopener">medium.com/@jules.foa/one… X signal: The Residency described itself as “a curated co-living cohort that supports your fundraising, traction & growth potential.” x.com/theresidency/s… ━━━━━━━━━━━━━━━━━━ 4. AGI House What it is: A community, venture fund, and applied AI lab for AI founders and researchers. It runs events, hackathons, dinners, a venture arm, and labs connecting AI builders to enterprise problems. There are two narratives around AGI House: • Rocky Yu / AGI House official narrative • Jeremy Nixon / NeoGenesis / AGI House origins narrative That history is contested enough that I’d be careful in phrasing. But the broad truth is clear: AGI House became one of the symbolic “AI hacker house” institutions of the Bay Area AI boom. Why it matters: AGI House was one of the earliest post-ChatGPT symbols that the Bay Area was reorganizing around AI builders living, hacking, and fundraising together. My take: AGI House is more mythic than structured. It is not the cleanest “program” in the YC sense. Its value is network density, symbolism, and access to AI-native founders and researchers. It is part hacker house, part salon, part fund, part lore. Best for: AI founders, researchers, hackers, people who want to be in the social graph of frontier AI. Not best for: Founders who want predictable programming, clear terms, structured accountability, or a conventional accelerator. Sources: agihouse.org agihouse.ai/origins.html arize.com/resource/agi-h… superscout.co/investor/agi-h… ━━━━━━━━━━━━━━━━━━ 5. Y Combinator What it is: The canonical accelerator. YC invests $500K, brings startups into a three-month program, and culminates in Demo Day. YC’s current site says startups move to San Francisco for three months and work intensively with YC before presenting to investors. Why it matters: Every other program defines itself relative to YC. Some are “YC but live-in.” Some are “YC but pre-idea.” Some are “YC but less dilutive.” Some are “YC but hardware.” Some are “YC but community first.” My take: YC is still the king of institutional startup acceleration. The brand, alumni network, Demo Day, and founder density remain unmatched. But YC is no longer the only gravity well in SF. The new residencies are nibbling at the edges: earlier, weirder, more physical, more communal, more AI-native. Best for: Founders who want the strongest global startup credential and investor access. Not best for: People pre-idea, people who need cofounder matching, people who want a live-in house culture, or frontier weirdos who do not fit a standard batch format yet. Sources: ycombinator.com ceowire.co/guides/how-y-c… ━━━━━━━━━━━━━━━━━━ TIER 2: IMPORTANT ADJACENT SF PROGRAMS ━━━━━━━━━━━━━━━━━━ 6. South Park Commons What it is: A community and fellowship for technologists going from “-1 to 0.” SPC has a Member Residency and a Founder Fellowship. Residency: Six months, no cost or equity, focused on ideation and exploration. Founder Fellowship: Funding path for founders ready to build. Recent SPC Founder Fellowship terms include $400K upfront for 7% plus $600K in the next outside-led round, with bootcamp and residency phases. Why it matters: SPC owns the “-1 to 0” language. That is a different category from YC. YC wants companies. SPC is comfortable with talented people before the company is obvious. My take: SPC is the best “thinking before company” institution in the Bay Area. If YC is company acceleration and HF0 is founder intensity, SPC is conviction formation. In AI, that matters because choosing the right problem is becoming more important as execution gets cheaper. Best for: Exceptional technologists, researchers, repeat founders, people between chapters, people searching for their next life’s work. Not best for: Founders who just want a check and a Demo Day. Sources: southparkcommons.com southparkcommons.com/residency/ blog.southparkcommons.com/p/spc-founder-… ━━━━━━━━━━━━━━━━━━ 7. Neo Residency / Neo Accelerator What it is: Ali Partovi’s Neo runs a founder-friendly residency/accelerator. Current Neo Residency page says startups get $750K uncapped, students get $40K each, participants work side-by-side for three months in SF, attend a two-week Oregon bootcamp, and finish with Demo Day / VC intros. Why it matters: Neo is one of the strongest “elite technical talent” brands. It has a different feel than YC: smaller, more network-driven, less batch-industrial. My take: Neo is underrated. The terms are founder-friendly relative to traditional accelerators, and the talent network is high quality. For students and very young technical founders, Neo may be one of the best bridges into serious company-building. Best for: Young technical founders, students, early teams, people who want capital plus elite network access. Not best for: Founders who want the broadest possible investor brand. YC still wins that. Sources: neo.com/residency conzit.com/post/ali-parto… X signals: x.com/neo/status/204… x.com/venturelaunch/… ━━━━━━━━━━━━━━━━━━ 8. Entrepreneurs First / The Bridge What it is: Entrepreneurs First is a global talent investor that helps individuals form cofounding teams and companies. EF now has a San Francisco path and launched The Bridge: an eight-week SF residency for non-US founders at the earliest stage, especially Europeans trying to enter Silicon Valley. The Bridge: • 8-week SF founder house • 40 spots • pre-idea / pre-team / stage 0 • housing, workspace, food • strongest teams can receive $250K • EF support and Demo Day path Why it matters: The Bridge is the most direct “import ambitious global founders into SF” program I found. It is not just a residency. It is a pipeline from Europe into the US startup ecosystem. My take: The Bridge could become very important if it succeeds. The Bay Area’s next advantage may be importing cracked technical founders before they become obvious. EF understands talent investing better than almost anyone. This is their SF wedge. Best for: Non-US founders, especially Europeans, who want to enter the Bay Area ecosystem before they have a team or idea fully formed. Not best for: US-based founders or founders who already have strong Bay Area access. Sources: join-thebridge.com join-thebridge.com/faq joinef.com/posts/introduc… joinef.com ━━━━━━━━━━━━━━━━━━ 9. Lightyear Residency What it is: A one-month SF residency incubated by HF0, associated with Don Ho and Bryan Myint. It is positioned as “the most productive month of your life.” Demo Day materials describe founders living in a Victorian mansion for a month with everything needed to focus. Why it matters: Lightyear is a more focused, short-duration version of the residency thesis. It is not a generic hacker house. It says it is for founders who already have something going and need to compress progress. My take: Lightyear is interesting because it is explicitly trying to distinguish “true residency” from “hacker house.” That distinction matters. A hacker house is vibes. A residency should create measurable velocity. Lightyear’s pitch is high-intensity founder output for people already moving. Best for: Repeat founders or pre-Series A companies that already have customers or traction and need focus. Not best for: Pre-idea founders, social co-living seekers, or people who need basic startup education. Sources: joinlightyear.com luma.com/ly87xio5 luma.com/bef5n27e X signal: x.com/matthewdwhite/… ━━━━━━━━━━━━━━━━━━ 10. Kernel Labs / Kernel Grants What it is: Kernel Labs is an SF AI builder community and grants program, positioning itself as “the TSMC of startups.” Kernel Grants invests $271,828 for 2.71828% plus about $1M in credits, with potential follow-on up to $20M. No batch format. Must be in SF. It focuses on “token factories”: context engineering, coding tools for autonomous workflows, context surgery, tokenomics, and agent-to-agent communication. Why it matters: This is not a traditional residency, but it is absolutely part of the new SF incubator layer. It is a thesis-driven builder community for AI infrastructure founders. My take: Kernel is one of the most intellectually interesting programs because it is not trying to be “YC but smaller.” It has a real thesis: the future of startups is fabless, and founders need agent/coding infrastructure. That is very aligned with where AI company formation is going. Best for: AI infrastructure founders, agent tooling founders, context engineering founders, people building the “operating layer” for AI. Not best for: Consumer founders, nontechnical founders, or people needing basic cofounder matching. Sources: kernellabs.ai kernellabs.ai/community kernellabs.ai/grants ━━━━━━━━━━━━━━━━━━ TIER 3: PROMISING OR MORE SPECIALIZED NODES ━━━━━━━━━━━━━━━━━━ 11. Frontier Heroes What it is: An SF founder residency signal from X. It appears to have launched a first cohort of seven startups, with Katia Yakovleva involved. Why it matters: This looks like an emerging program rather than an established institution. Worth tracking, especially if it is connecting founder residency with media/content/AI/operator networks. My take: Too early to rank highly, but it is a good signal. The interesting part is the European/operator network. Could be another bridge into SF. Sources: X indexed signal: x.com/katiayakov/sta… Katia background: amongfounders.com/insights/peopl… spotiangels.framer.ai ━━━━━━━━━━━━━━━━━━ 12. SF Kernel / Kernel Community Covered above under Kernel Labs, but if you want to mention “SF Kernel” specifically in the article, frame it as a builder community/coworking/event/grants node, not as a traditional accelerator. Source: kernellabs.ai/community ━━━━━━━━━━━━━━━━━━ 13. The Monastery What it is: A 12-week program from Cyber Fund / Cyber ecosystem, per X-indexed post: • $2M uncapped SAFE • two 2-week blocks in SF • 8 weeks remote • 10 teams admitted • AI-native operators / extreme focus Why it matters: This is one of the more intense-sounding models. It is less broadly known than HF0, YC, or SPC, but its terms and structure are notable. My take: Worth including as an emerging “high-intensity AI-native operator” program. I would not rank it with HF0 or YC until more outcomes are visible. Source: x.com/cyberfund/stat… ━━━━━━━━━━━━━━━━━━ 14. The Bridge Covered above under EF, but it deserves standalone mention because it is branded separately and directly addresses non-US founders trying to get into SF. Sources: join-thebridge.com joinef.com/posts/introduc… ━━━━━━━━━━━━━━━━━━ 15. Hacker Residency / Day One Foundry style houses What it is: A looser category of international hacker residencies, including Hacker Residency groups, Da Nang/Vietnam founder villas, and similar “lock in for a month” models. Why it matters: This is the globalized version of the SF residency meme. It may not all be Bay Area, but the cultural template comes from SF: live together, build intensely, ship publicly. My take: Good color for the article, but not core SF unless the program has an SF house or demo day. X signals: x.com/qwertyualex/st… x.com/eugZolotarenko… ━━━━━━━━━━━━━━━━━━ 16. NeoGenesis / AGI House Origins If you want historical depth, include NeoGenesis as the predecessor/myth layer behind AGI House. The origin story has multiple tellings, so use careful language: “AGI House grew out of the NeoGenesis / early AI hacker-house scene around Hillsborough and SF.” Source: agihouse.ai/origins.html ━━━━━━━━━━━━━━━━━━ 17. Antler AI Residency Not SF-core in the sources I found, but relevant as a global comparison. Antler runs AI/startup residency-style programs and is part of the broader trend. Source from indexed post: x.com/AntlerIndia/st… ━━━━━━━━━━━━━━━━━━ 18. Focal Founder Residency Not SF-core from this pass, but appears as a similar residency in Questd’s database. Worth mentioning as part of the “residencies are becoming a category” trend. Source: questd.ai/residencies/fo… ━━━━━━━━━━━━━━━━━━ 19. Generator Residency Berkeley-based, AI safety-oriented, funded with stipend, travel, and housing, according to X-indexed post. This is more AI safety career-path/residency than startup incubator, but belongs in the broader Bay Area map. Source: x.com/austinc3301/st… ━━━━━━━━━━━━━━━━━━ 20. South Bay / Physical AI / Savant / hard-tech coworking nodes There are multiple physical AI coworking and office-hour programs in SF/Bay Area, including Savant-style hardware lab office hours and Founders Inc physical AI hack events. These are not always residencies, but they are part of the same founder-infrastructure layer. Sources: x.com/thejesonlee/st… x.com/GZinMetaverse/…

@superai_conf @OpenAI @msft4startups looking forward see you in singapore

The Genesis Top 10 is confirmed. These are the teams pitching live at SuperAI Singapore for US$850,000 in prizes powered by @OpenAI and @msft4startups Cancer care to Minecraft. Biomedical discovery to physical AI. This is what building looks like. 10–11 June. Marina Bay Sands.

@solayer_labs @margin_trade :: margin trade

1/ today, we introduce @margin_trade 24/7 orderbook-based, perpetual markets for equities commodities and crypto

@p0 @TheAtlantic @FortuneMagazine @PRNewswire @PitchBook @ZoomInfo @Tracxn @RocketReachCo @enigma_data @fiscal_ai this is huge works on the fundamental economics while agents become first class citizens on the web

Today we're launching Index: a platform for content owners to understand how AI agents use their work, and earn revenue when they do. Our first partners include @TheAtlantic, @FortuneMagazine, @PRNewswire, @PitchBook, @ZoomInfo, @Tracxn, @RocketReachCo, @enigma_data, @fiscal_ai, plus creators @alexeheath, @mariogabriele @azeem, @every, and @packyM.

@edgarpavlovsky @runpentagon congrats on the new adventure!

I've been working on something new, and tomorrow we get to start telling you more about it. Of all the things I've built, this feels by far the most ambitious. It's a company I didn't expect to start, in a year where everything about how you build is changing. It's also a problem that has absolutely gripped me by its opportunity, inevitability, and the depth of difficulty associated with getting it right. It's the first time I've felt genuinely early to something - exhilarating, terrifying, and a hell of a thing to wake up and tackle every morning. We're backed by @ycombinator and I owe a massive thank you to @t_blom, @kul, & the broader YC community for their guidance, support, and belief. I could (& probably will) write a lot more about how a startup community I already had a great impression of still managed to blow me away from the inside. We go live tomorrow - I'll see you there.

@DecartAI @radicalvcfund realtime AI is the future

Excited to share that we’ve raised $300M in our Series B round, led by @radicalvcfund, bringing our total funding to more than $450M, with leading technology companies joining as both customers and investors. We continue accelerating the path to AGI through our two core pillars: ultra-optimized infrastructure for AI workloads, and realtime world models built on top of it. Today, we’re also launching DOS (Decart Optimization Stack) 2.0 – our next-generation inference and training platform, delivering over 1,600 tokens per second for agentic inference and over 100 FPS for world models across major hardware platforms. Alongside DOS, we will launch new versions of our world models in the coming weeks: Lucy, for immersive realtime experiences, and Oasis, for physical AI. Grateful to our partners, customers, and backers across media & entertainment, Physical AI, chips, hyperscalers, and the broader AI ecosystem. @radicalvcfund, @Adobe, @alphaptrs, @amazon and @awscloud, @Atreidesmgmt, @benchmark, @eBay, @nvidia, @sequoia, @Toyota, @valor, @orenzeev; Andrej Karpathy, Michael Eisner, Yamauchi-No.10 Family Office, Moritz Baier-Lentz and more. We made a film for this moment with Decart CEO @DLeitersdorf and Moritz Baier-Lentz - a look at the company, the technology, and what comes next.

@shreyaforwork your too kind 🫡

I recently started following my cofounder @0xJsum on X and now constant ritual is : Whenever I feel a lil lazy or cooked in the brain , I give a look at his profile . This man has done so much <25 and man be acting so damn humble . Exactly the kinda energy I need .

Vector databases are a scam. Not technically, they do exactly what they say. Return the most cosine-similar string to your query. The scam is the entire industry pretending that's the same thing as relevance. It isn't. Search "Apple." You get the fruit, the company, the watch, and a recipe blog. Your agent picks one at random and calls it retrieval. Your customer calls it broken. Most AI agents shipping right now are duct-taped on top of this. They demo well because demos are easy. They die in production because production is real. @Hydra_db's Founder Nish (@contextkingceo) said the quiet part out loud — "vector databases suck, similarity is not relevance" — and the demo signups haven't stopped since. He raised $6.5M because he was the first to name what everyone in the room already knew. If your retrieval layer is a flat embedding index, you're not building infrastructure. You're building a liability with a prettier name. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) AI Needs Context (01:30) HydraDB Explained (07:41) Vector Search Breaks (09:32) Messaging That Converts (13:41) Writing the Viral Tweet (16:07) Similarity Not Relevance (20:46) POC to Production Gap (35:35) Raising 6.5 Million Fast (39:33) Founder Lesson on Messaging This is a @Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI. Follow for more:)

@richzou Congrats 🎉

I turn 21 today. I think this is the best time in history to be in your 20s and in the Bay. The past year I've been fortunate to be surrounded by many incredible founders and operators, and lucky enough to call them friends. So I'm starting a fund. It's called Bo Le Capital. Named after Bo Le (伯乐), the figure in Chinese mythology who could recognize a thousand mile horse when everyone else saw a workhorse. That's the work I want to spend the rest of my life doing. Recruiting and venture are both very transactional spaces. I believe there's a way to approach this work with kindness. The core thesis of the fund is simple: do what's best for the talent. Everything else follows from that. A lot of this is borrowed from how Michael Ovitz built CAA. He treated talent as the center of the universe and built every part of the business around serving them. Bo Le Capital will operate the same way. The fund will have a recruiting agency attached to it, and I'll keep testing new strategies on top of that. Talent is finite. The people who get to it first, and treat it best, win. One of the principles I care most about is to work with the best. In every direction. The founders we back, the operators we place, the friends we build this with, and the LPs we work with. Thank you to everyone who's been part of this past year. There's still a lot for me to learn, and I'm extremely excited for this next chapter. More soon.